Data & AI Engineer

BEATHCHAPMAN (PTE. LTD.); Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading organization in industrial automation is seeking a skilled Data Engineer in Singapore. The role focuses on developing scalable data infrastructure and migrating legacy systems to a Snowflake-based architecture. Candidates should have over 4 years of experience in data engineering and strong knowledge of cloud-based data architectures. This position requires collaboration with cross-functional teams to enable advanced analytics and machine learning use cases.

Qualifications

• More than 4 years of hands-on experience in data engineering.
• Experienced in Snowflake (SnowPro certification preferred).
• Strong knowledge of cloud-based data architecture and data warehouse migration.

Responsibilities

• Design and implement ETL/ELT pipelines to support AI/ML models.
• Lead the migration of legacy data platforms to Snowflake architecture.
• Collaborate with cross-functional teams to ensure seamless integration.

Skills

Data engineering

ETL/ELT processing

Collaboration

Cloud-based architecture

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Snowflake

AWS

dbt

Docker

Job description

Overview

Industry: Industrial Automation & Technology

A leading organization in the industrial automation sector is seeking a skilled Data Engineer to support enterprise AI and data initiatives. This role focuses on developing scalable data infrastructure, migrating legacy systems, and enabling advanced analytics and machine learning use cases.

Key Responsibilities

• Design and implement ETL/ELT pipelines to support AI/ML models and business intelligence
• Lead the migration of legacy data platforms to a modern Snowflake-based architecture
• Ensure secure, high-performance infrastructure aligned with data governance policies
• Collaborate with cross-functional teams including data scientists and business stakeholders
• Support real-time data processing and integration of unstructured data sources
• Contribute to AI model deployment by preparing datasets and ensuring seamless system integration

Technical Environment

• Platforms: Snowflake, AWS (Glue, S3, RDS, Fargate), Azure
• Tools: dbt, MLflow, LangChain, Docker
• Languages: SQL, Python, Java
• AI/ML: TensorFlow, PyTorch, LLM pipelines, vector databases

Qualifications

• More than 4 years of hands-on experience in data engineering
• Experienced in Snowflake (SnowPro certification preferred)
• Strong knowledge of cloud-based data architecture and data warehouse migration
• Experience with ETL/ELT frameworks and MLOps tools
• Familiarity with data security, governance, and performance optimization
• Ability to collaborate effectively with technical and non-technical stakeholders
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Reg. No. R1874494

BeathChapman Pte Ltd

Licence no. 16S8112